tesseract-ocrHow can I improve the quality of my Tesseract OCR output?
-
Increase the resolution of the input image. Higher resolution images will result in better Tesseract OCR output, as the text will be more clear and readable.
-
Adjust the image contrast. Increasing the contrast of the image can help Tesseract OCR to better distinguish between the text and the background.
-
Use a pre-processing filter. Using a pre-processing filter such as a Gaussian blur can help Tesseract OCR to better recognize the text.
-
Apply image binarization. Applying image binarization can help Tesseract OCR to better identify the text in the image.
-
Include language-specific training data. Including language-specific training data can help Tesseract OCR to better recognize the text in the image.
-
Use a language-specific configuration file. Using a language-specific configuration file can help Tesseract OCR to better recognize the text in the image.
-
Adjust the Tesseract OCR parameters. Adjusting the Tesseract OCR parameters such as the page segmentation mode, the oem mode, and the tesseract config file can help to improve the quality of the Tesseract OCR output.
Example code
tesseract image.jpg output --psm 6 --oem 1 --tessconfig config.confOutput example
Tesseract Open Source OCR Engine v5.0.0-alpha.20200328 with LeptonicaMore of Tesseract Ocr
- How can I use Tesseract OCR with Xamarin Forms?
- How can I use Python to get the coordinates of words detected by Tesseract OCR?
- How can I identify and mitigate potential vulnerabilities in Tesseract OCR?
- How do I download the Tesseract OCR software from the University of Mannheim?
- How can I integrate Tesseract OCR into a Unity project?
- How can I use Tesseract OCR to read text from Reddit posts?
- How can I configure Tesseract OCR options?
- How can I use Tesseract OCR in a PHP project?
- How do I install and use language packs with Tesseract OCR?
- How do I use Tesseract OCR to extract text from a ZIP file?
See more codes...